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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 5520
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    Explanations

    words related to locations and destinations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific letters or characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    CLASSIFIED
    -0.65
     innocence
    -0.64
    umenthal
    -0.56
     sanity
    -0.56
    Ħ¢
    -0.55
    LEASE
    -0.54
    FFFF
    -0.53
     Severus
    -0.52
     Penguin
    -0.52
    GROUP
    -0.52
    POSITIVE LOGITS
    los
    0.89
    erman
    0.87
    illes
    0.87
    obar
    0.86
    imura
    0.81
    lahoma
    0.79
    ira
    0.79
    sa
    0.78
    oma
    0.78
    ando
    0.75
    Activations Density 0.080%

    No Known Activations